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1 | 1 | # Bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variants |
2 | 2 |
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3 | | -- This repo contains code for the paper `Bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variants` (technical report coming soon) by Anusri Pampari*, Anna Shcherbina*, Anshul Kundaje. (*authors contributed equally) |
| 3 | +- This repo contains code for the paper [ChromBPNet: Bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variants](https://www.biorxiv.org/content/10.1101/2024.12.25.630221v1) by Anusri Pampari*, Anna Shcherbina*, Anshul Kundaje. (*authors contributed equally) |
4 | 4 | - Please contact [Anusri Pampari] (\<first-name\>@stanford.edu) for suggestions and comments. |
5 | 5 | - Here is a link to the [slides](https://docs.google.com/presentation/d/1Ow6K8TYN40u7T3ODdo-JRCLuv5fUUacA/edit?usp=sharing&ouid=104820480456877027097&rtpof=true&sd=true), [ISMB talk](https://www.youtube.com/watch?v=3W3JeJvvjLc) and a comprehensive [tutorial](https://github.com/kundajelab/chrombpnet/wiki). Please see the [FAQ](https://github.com/kundajelab/chrombpnet/wiki/FAQ) and file a github [issue](https://github.com/kundajelab/chrombpnet/issues) if you have questions. |
6 | 6 | - If you are using chrombpnet <= v0.1.3 please refer to the note here - https://github.com/kundajelab/chrombpnet/wiki/Denovo-motif-discovery |
@@ -213,9 +213,21 @@ For more information, also see: |
213 | 213 |
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214 | 214 | ## How to Cite |
215 | 215 |
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216 | | -If github citations are not allowed in your submissions please reach out to Anusri Pampari and Anshul Kundaje. |
217 | 216 | If you're using ChromBPNet in your work, please cite as follows: |
218 | 217 |
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| 218 | +``` |
| 219 | +@article {Pampari2024.12.25.630221, |
| 220 | + author = {Pampari, Anusri and Shcherbina, Anna and Kvon, Evgeny and Kosicki, Michael and Nair, Surag and Kundu, Soumya and Kathiria, Arwa S. and Risca, Viviana I. and Kuningas, Kristiina and Alasoo, Kaur and Greenleaf, William James and Pennacchio, Len A. and Kundaje, Anshul}, |
| 221 | + title = {ChromBPNet: bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variants}, |
| 222 | + elocation-id = {2024.12.25.630221}, |
| 223 | + year = {2024}, |
| 224 | + doi = {10.1101/2024.12.25.630221}, |
| 225 | + publisher = {Cold Spring Harbor Laboratory}, |
| 226 | + URL = {https://www.biorxiv.org/content/early/2024/12/25/2024.12.25.630221}, |
| 227 | + eprint = {https://www.biorxiv.org/content/early/2024/12/25/2024.12.25.630221.full.pdf}, |
| 228 | + journal = {bioRxiv} |
| 229 | +} |
| 230 | +``` |
219 | 231 |
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220 | 232 | ``` |
221 | 233 | @software{Pampari_Bias_factorized_base-resolution_2023, |
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